Senior Data Engineer

ABOUT URBOX

UrBox is Vietnam’s leading digital gifting & loyalty platform that enables businesses to integrate their reward & loyalty programs with an ever-growing network of more than 350 brands & 20,000 accepted online and offline stores in Vietnam.

UrBox has the widest network of clients in loyalty in Vietnam and provides loyalty & reward solutions to many big organizations in the aviation, banking, FMCG, Insurance, Real Estate industries and more.

KEY RESPONSIBILITIES:

• Data Architecture & Pipeline Engineering: Design, develop, and maintain scalable ETL/ELT pipelines to move and transform data from disparate sources into our Data Warehouse/Data Lake.
• Product-Centric Data Modeling: Collaborate closely with Product Owners to understand feature roadmaps and design data models that align with business logic and user needs.
• AI & Innovation Support: Optimize data flows and Vector Databases to support internal AI Multi-Agent projects and advanced OCR capabilities.
• Performance Optimization: Monitor and tune data systems for maximum speed and reliability, ensuring low-latency access for product applications.
• Governance & Security: Implement data quality checks and ensure compliance with high-level security standards (such as PCI-DSS) to protect user and partner data.
• Cross-functional Collaboration: Work with Data Analysts to provide clean, structured datasets that drive product insights and informed decision-making.

REQUIREMENTS:

• Programming Mastery: Proficiency in Python or Scala. Ability to write clean, production-grade, and testable code.
• Data Ecosystem: Hands-on experience with SQL (PostgreSQL), NoSQL, and Big Data frameworks (e.g., Spark, Flink, Kafka).
• Cloud Infrastructure: Strong experience with AWS services (S3, Redshift, Glue, Lambda, Athena).
• Modern Data Stack: Familiarity with data orchestration tools (Airflow, Dagster, or Prefect) and containerization (Docker/Kubernetes).
• Data Modeling: Expertise in dimensional modeling, schema design, and experience with Vector Databases for AI applications.
• Product Mindset: A strong "product-first" mentality—understanding not just how to build, but why it matters for the end-user.
• Analytical Thinking: Exceptional problem-solving skills with a focus on system scalability and data integrity.
• Communication: Ability to bridge the gap between technical complexity and business requirements.
• Agile Adaptability: Comfortable working in a fast-paced environment with evolving priorities.